Pranav Rajpurkar

Pranav Rajpurkar, PhD

Assistant Professor of Biomedical Informatics

10 Shattuck Street, Boston, MA 02115

Rajpurkar Lab

Pranav Rajpurkar is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for biomedical decision making. His lab approaches biomedical problems with a computational lens, developing AI algorithms, datasets, and interfaces that cut across computer vision, natural language processing, and structured health data. He has collaborated with clinicians across medical specialties, including radiology, cardiology, and pathology, to make some of the first demonstrations of expert-level deep learning algorithms and their effects on clinician decision making. Previously, Dr. Rajpurkar received his B.S., M.S., and Ph.D. degrees, all in Computer Science from Stanford University.

His lab’s current research directions include algorithm development for limited labeled data settings, high-quality dataset curation at scale, and the design of effective clinician-AI collaboration setups.

DBMI Research Areas

Courses

In the News

Impact of a deep learning assistant on the histopathologic classification of liver cancer.
Authors: Kiani A, Uyumazturk B, Rajpurkar P, Wang A, Gao R, Jones E, Yu Y, Langlotz CP, Ball RL, Montine TJ, Martin BA, Berry GJ, Ozawa MG, Hazard FK, Brown RA, Chen SB, Wood M, Allard LS, Ylagan L, Ng AY, Shen J.
NPJ Digit Med
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CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV.
Authors: Rajpurkar P, O'Connell C, Schechter A, Asnani N, Li J, Kiani A, Ball RL, Mendelson M, Maartens G, van Hoving DJ, Griesel R, Ng AY, Boyles TH, Lungren MP.
NPJ Digit Med
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Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
Authors: Huang SC, Kothari T, Banerjee I, Chute C, Ball RL, Borus N, Huang A, Patel BN, Rajpurkar P, Irvin J, Dunnmon J, Bledsoe J, Shpanskaya K, Dhaliwal A, Zamanian R, Ng AY, Lungren MP.
NPJ Digit Med
View full abstract on Pubmed
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
Authors: Huang SC, Kothari T, Banerjee I, Chute C, Ball RL, Borus N, Huang A, Patel BN, Rajpurkar P, Irvin J, Dunnmon J, Bledsoe J, Shpanskaya K, Dhaliwal A, Zamanian R, Ng AY, Lungren MP.
NPJ Digit Med
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Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.
Authors: Patel BN, Rosenberg L, Willcox G, Baltaxe D, Lyons M, Irvin J, Rajpurkar P, Amrhein T, Gupta R, Halabi S, Langlotz C, Lo E, Mammarappallil J, Mariano AJ, Riley G, Seekins J, Shen L, Zucker E, Lungren MP.
NPJ Digit Med
View full abstract on Pubmed
Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.
Authors: Park A, Chute C, Rajpurkar P, Lou J, Ball RL, Shpanskaya K, Jabarkheel R, Kim LH, McKenna E, Tseng J, Ni J, Wishah F, Wittber F, Hong DS, Wilson TJ, Halabi S, Basu S, Patel BN, Lungren MP, Ng AY, Yeom KW.
JAMA Netw Open
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Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy.
Authors: Duan T, Rajpurkar P, Laird D, Ng AY, Basu S.
Circ Cardiovasc Qual Outcomes
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Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Authors: Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, Ng AY.
Nat Med
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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Authors: Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, Ng AY.
Nat Med
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Erratum: Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.
Authors: Patel BN, Rosenberg L, Willcox G, Baltaxe D, Lyons M, Irvin J, Rajpurkar P, Amrhein T, Gupta R, Halabi S, Langlotz C, Lo E, Mammarappallil J, Mariano AJ, Riley G, Seekins J, Shen L, Zucker E, Lungren MP.
NPJ Digit Med
View full abstract on Pubmed